"Iris Recognition Based Data Security for Secure Transmission Over Internet of Things Network"

Abstract

The biometric traits of any human being such as fingerprint, tongue prints, face recognition, Retina Scan, Iris recognition etc. are unique and cannot be replicated or fabricated using modern technologically advanced processes. These unique traits are used to identify individuals for grating access to sensitive data over the cloud. In this paper we propose a biometric authentication system based on Iris recognition to allow user identity based data to be pushed on to the cloud for global access, if the user Iris image is authenticated with the database. The real time Iris scanner captures the Iris image and same is imported to the MATLAB workspace for feature extraction and matching. Upon successful matching, the data is transmitted to the ThingSpeak Internet of Things (IoT) analytics platform. The IoT framework is a massive network of physical devices sharing data according to set protocols. Most of the IoT enabled devices lack security protocols. Thus, biometric authentication in general and iris recognition in particular finds a perfect fit for securing data over an IoT framework.